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README.md
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---
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annotations_creators:
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- no-annotation
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language:
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- en
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language_creators:
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- found
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license:
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- mit
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multilinguality:
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- monolingual
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size_categories:
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- n<1K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- text-classification
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paperswithcode_id: null
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pretty_name: Text360 Sample Dataset
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tags:
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- text-classification
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- arxiv
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- wikipedia
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---
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# Dataset Card for Text360 Sample Dataset
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## Dataset Description
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- **Repository:** [Add your repository URL here]
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- **Paper:** [Add paper URL if applicable]
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- **Point of Contact:** [Add contact information]
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### Dataset Summary
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This dataset contains text samples from two sources (arXiv and Wikipedia) organized in a hierarchical directory structure. Each sample includes a text field and a subset identifier.
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### Supported Tasks and Leaderboards
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- **Text Classification:** The dataset can be used for text classification tasks, particularly for distinguishing between arXiv and Wikipedia content.
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### Languages
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The dataset is in English.
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## Dataset Structure
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### Data Instances
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Each instance in the dataset is a JSON object with the following structure:
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```json
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{
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"text": "A long text sample...",
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"subset": "arxiv" or "wikipedia"
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}
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```
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### Data Fields
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- `text`: The main text content of the sample
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- `subset`: The source of the text ("arxiv" or "wikipedia")
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### Data Splits
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The dataset is organized in the following directory structure:
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```
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.
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├── dir1/
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│ └── subdir1/
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│ └── sample1.jsonl
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└── dir2/
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└── subdir2/
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└── sample2.jsonl
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```
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## Dataset Creation
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### Curation Rationale
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The dataset was created to provide a sample of text data from different sources for text classification tasks.
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### Source Data
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#### Initial Data Collection and Normalization
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The data was collected from two sources:
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1. arXiv papers
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2. Wikipedia articles
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#### Who are the source language producers?
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- arXiv: Academic researchers and scientists
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- Wikipedia: Community contributors
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### Annotations
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#### Annotation process
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No additional annotations were added to the source data.
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#### Who are the annotators?
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N/A
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### Personal and Sensitive Information
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The dataset does not contain any personal or sensitive information.
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## Considerations for Using the Data
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### Social Impact of Dataset
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This dataset can be used for educational and research purposes in text classification tasks.
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### Discussion of Biases
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The dataset may contain biases inherent to the source materials (arXiv papers and Wikipedia articles).
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### Other Known Limitations
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The dataset is a small sample and may not be representative of all content from the source materials.
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### Dataset Curators
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[Add curator information]
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### Licensing Information
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This dataset is released under the MIT License.
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### Citation Information
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[Add citation information]
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### Contributions
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[Add contribution information]
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### Contact
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[Add contact information]
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